30 lines
923 B
Python
30 lines
923 B
Python
_base_ = [
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'../_base_/models/efficientnet_es.py',
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'../_base_/datasets/imagenet_bs32.py',
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'../_base_/schedules/imagenet_bs256.py',
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'../_base_/default_runtime.py',
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]
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# dataset settings
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train_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(type='EfficientNetRandomCrop', scale=224),
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dict(type='RandomFlip', prob=0.5, direction='horizontal'),
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dict(type='PackClsInputs'),
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]
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test_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(type='EfficientNetCenterCrop', crop_size=224),
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dict(type='PackClsInputs'),
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]
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train_dataloader = dict(dataset=dict(pipeline=train_pipeline))
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val_dataloader = dict(dataset=dict(pipeline=test_pipeline))
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test_dataloader = dict(dataset=dict(pipeline=test_pipeline))
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# NOTE: `auto_scale_lr` is for automatically scaling LR,
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# USER SHOULD NOT CHANGE ITS VALUES.
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# base_batch_size = (8 GPUs) x (32 samples per GPU)
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auto_scale_lr = dict(base_batch_size=256)
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